Mark Steyvers
Affiliations: | University of California, Irvine, Irvine, CA |
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"Mark Steyvers"Mean distance: 15.76 (cluster 15) | S | N | B | C | P |
Parents
Sign in to add mentor| Richard M. Shiffrin | grad student | 2000 | Indiana University | |
| (Modeling semantic and orthographic similarity effects on memory for individual words.) | ||||
Children
Sign in to add trainee| Miles N. Munro | grad student | 2008 | UC Irvine |
| Sheng K. Yi | grad student | 2011 | UC Irvine |
| Timothy N. Rubin | grad student | 2012 | UC Irvine |
| Sean E. Tauber | grad student | 2013 | UC Irvine |
| Brent Miller | grad student | 2014 | UC Irvine |
Collaborators
Sign in to add collaborator| Michael D. Lee | collaborator | UC Irvine | |
| Robert Lee Goldstone | collaborator | 2000-2005 | Indiana University |
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Publications
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| Steyvers M, Schafer RJ. (2020) Inferring latent learning factors in large-scale cognitive training data. Nature Human Behaviour |
| Kumar AA, Balota DA, Steyvers M. (2019) Distant connectivity and multiple-step priming in large-scale semantic networks. Journal of Experimental Psychology. Learning, Memory, and Cognition |
| Steyvers M, Hawkins GE, Karayanidis F, et al. (2019) A large-scale analysis of task switching practice effects across the lifespan. Proceedings of the National Academy of Sciences of the United States of America |
| Gaut G, Li X, Lu ZL, et al. (2019) Experimental design modulates variance in BOLD activation: The variance design general linear model. Human Brain Mapping |
| Gaut G, Li X, Turner B, et al. (2019) Predicting Task and Subject Differences with Functional Connectivity and BOLD Variability. Brain Connectivity |
| Patel TN, Steyvers M, Benjamin AS. (2019) Monitoring the ebb and flow of attention: Does controlling the onset of stimuli during encoding enhance memory? Memory & Cognition |
| Evans NJ, Steyvers M, Brown SD. (2018) Modeling the Covariance Structure of Complex Datasets Using Cognitive Models: An Application to Individual Differences and the Heritability of Cognitive Ability. Cognitive Science |
| Palestro JJ, Bahg G, Sederberg PB, et al. (2018) A tutorial on joint models of neural and behavioral measures of cognition Journal of Mathematical Psychology. 84: 20-48 |
| Tauber S, Navarro DJ, Perfors A, et al. (2017) Bayesian Models of Cognition Revisited: Setting Optimality Aside and Letting Data Drive Psychological Theory. Psychological Review |
| Merkle EC, Steyvers M, Mellers B, et al. (2017) A neglected dimension of good forecasting judgment: The questions we choose also matter International Journal of Forecasting. 33: 817-832 |